3 accepted papers
Visual place recognition (VPR) algorithms are a key part of many autonomous systems, but typically consist of many parameters which require non-trivial optimization for a given deployment environment. Being able to automatically select the optimal operating point for parameters within a VPR algorith
Localization is a critical capability for robots, drones, and autonomous vehicles operating in a wide range of environments. One of the critical considerations for designing, training, or calibrating visual localization systems is the coverage of the visual sensors equipped on the platforms. In an a
Domestic service robots such as lawn mowing and vacuum cleaning robots are the most numerous consumer robots in existence today. While early versions employed random exploration, recent systems fielded by most of the major manufacturers have utilized range-based and visual sensors and user-placed be